At a Glance
- Tasks: Lead a team to develop AI-powered solutions and enhance analytics capabilities.
- Company: Askuity, a dynamic retail analytics division of The Home Depot.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Innovative culture with a focus on cutting-edge AI technologies.
- Why this job: Make a real impact by driving data-driven decisions in a leading retail environment.
- Qualifications: Experience in data science, machine learning, and team leadership.
The predicted salary is between 118800 - 145200 $ per year.
Askuity is a Toronto-based retail analytics software company operating as a division within The Home Depot (THD). Through our supplier analytics program, Askuity's mission is to enable suppliers and merchants at The Home Depot to make profitable, data-driven decisions and drive real-time execution.
As a Manager, Data Science you will lead the development and integration of AI-enabled capabilities within Fusion, The Home Depot's Business Intelligence tool for suppliers. In this role, you will lead a team of data scientists and collaborate with cross-functional stakeholders to enhance decision-making and analytical capabilities within the platform. Your work will be instrumental in optimizing supplier performance, driving insights, and ensuring Home Depot suppliers can leverage data-driven strategies effectively.
Key Responsibilities:
- Lead and mentor a team of data scientists in developing AI-powered solutions, including GenAI for Fusion.
- Define the roadmap and strategy to enhance predictive analytics, machine learning, GenAI capabilities, intelligent automation, and decision support functionalities.
- Collaborate with leaders from product management, design, and engineering to integrate advanced analytics into the BI tool.
- Design and implement machine learning models, NLP, LLM-powered applications, retrieval-augmented generation (RAG), prompt engineering, and other AI techniques to improve user experience and insights generation.
- Ensure data integrity, quality, and security across all analytics processes.
- Drive innovation by evaluating emerging AI technologies including foundation models, GenAI frameworks, agentic AI, and responsible AI practices.
- Measure and evaluate AI and GenAI solutions using business, technical, and model quality metrics while continuously optimizing performance.
Skills:
- Python, R, SQL, and machine learning frameworks such as TensorFlow or PyTorch.
- GenAI applications using Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and model evaluation techniques.
- AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, OpenAI APIs, or equivalent GenAI platforms.
- Cloud-based data platforms (GCP, AWS, Azure) and big data technologies.
- Statistical modelling and machine learning.
Data Science Manager in Toronto employer: Askuity
Join a leading retail analytics software company in Toronto, where innovation meets collaboration. As a QA Automation Engineer, you'll thrive in a dynamic work culture that values creativity and teamwork, while enjoying opportunities for professional growth and development. With a focus on impactful projects and cutting-edge technology, this role offers a rewarding experience in a supportive environment that champions quality and excellence.
